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Record W2768385603 · doi:10.1097/wnp.0000000000000436

Comparison of Heart Rate Variability Parameters to the Autonomic Reflex Screen in Postural Orthostatic Tachycardia Syndrome and Neurogenic Orthostatic Hypotension

2017· article· en· W2768385603 on OpenAlexaff
Jacquie Baker, Juan Manuel Racosta, Kurt Kimpinski

Bibliographic record

VenueJournal of Clinical Neurophysiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineHeart rate variabilityHeart rateBlood pressureContext (archaeology)Internal medicineCardiologyOrthostatic vital signsTachycardiaReflexAutonomic nervous systemDiaphragmatic breathingAnesthesia

Abstract

fetched live from OpenAlex

PURPOSE: The clinical significance of heart rate variability (HRV) in the context of autonomic dysfunction continues to be a matter of debate. Therefore, the purpose of the current study was to investigate the clinical relevance of HRV in the context of autonomic dysfunction. METHODS: Heart rate variability data from 225 volunteers consisting of controls (n = 166) and patients with mild (n = 25) and severe (n = 34) autonomic dysfunction were retrospectively analyzed. Time and frequency parameters were correlated against baseline and standardized tests of autonomic function. RESULTS: During baseline, resting HR was negatively correlated with time (SD of all normal RR interval, r = -0.511; RMSSD, r = -0.585; pNN50, r = -0.545) and frequency (low-frequency, r = -0.362; high-frequency, r = -0.421) parameters (P < 0.01). Resting systolic blood pressure demonstrated similar significant correlations (P < 0.01). During head-up tilt, SD of all normal RR intervals was positively correlated with [INCREMENT]HR and change in systolic blood pressure (r = 0.340; r = 0.538, respectively; P < 0.01). Similarly, low-frequency, high-frequency, and low-frequency/high-frequency ratios were correlated with [INCREMENT]HR (r = 0.422, r = 0.176, r = 0.470) and change in systolic blood pressure (r = 0.451, r = 0.407, and r = 0.185) (P < 0.01). Time parameters (SD of all normal RR intervals, RMSSD, and pNN50) were all significantly correlated with deep breathing (r = 0.600; r = 0.556; r = 0.516; P < 0.01, respectively). Low-frequency and high-frequency power were also correlated (r = 0.596; r = 0.580, respectively) (P < 0.01). CONCLUSIONS: Time and frequency parameters showed significant negative correlations with baseline hemodynamics. During a test of sympathetic activation and parasympathetic withdrawal, this relationship shifted to reveal significant positive correlations between HRV parameters and hemodynamics. Last, during a test of parasympathetic activation, there were significant positive correlations with cardiovagally mediated HRV parameters. Overall, these results suggest broader clinical relevance for HRV parameters within the spectrum of autonomic functioning.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.072
GPT teacher head0.413
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2017
Admission routes1
Has abstractyes

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